Evaluation of Organ Procurement in an Area Under the Influence of a Training Program

Santiago, Carlos; Gómez, P.; Olivares, José; Concepcion, Mae

doi:10.1016/j.transproceed.2005.08.056

Cited by 21 publications

(47 citation statements)

References 3 publications

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“…Most donor losses occur during detection of potential donor, declaration, and familial consent steps. Two studies in US reported that 10% of potential donors are lost because they couldn't be noticed by healthcare workers (17,18). To prevent these intensive care unit workers should be trained and their consciousness should be raised on topics such as detection of brain death and management of potential donors.…”

Section: Discussionmentioning

confidence: 99%

Where are We on Organ Donation?

Uludağ¹,

Tutak²,

Doğukan³

et al. 2016

tybdd

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Adıyaman Üniversitesi Eğitim ve Araştırma Hastanesi, yoğun bakım ünitesinde beyin ölümü tanısı konulan olguların demografik ve klinik özellikleri retrospektif olarak incelenerek, organ bağışı kabul oranları sunuldu. Gereç ve Yöntem: Hastanemiz yoğun bakım ünitesinde 2008-2014 yılları arasında beyin ölümü tanısı konmuş hastalar retrospektif olarak incelendi. Tüm hastalar; yaş, cinsiyet, beyin ölümü nedeni, kan grubu, organ bağışı kabul ve red nedenleri, kardiyak arrest geçirme ve vazopressin kullanma durumu, laboratuvar testleri, apne testi öncesi ve sonrası kan gazı değerleri, yoğun bakımda izlem süresi, apne testi, yıl ve mevsimsel dağılım açısından değerlendirildi. Donör adayı olan olgular verilen organ ve alıcı olan hastalar demografik özelliklerine göre ayrıca değerlendirildi. Bulgular: Otuz dört (%59,6) erkek, 23 (%40,4) kadın toplam 57 hastaya beyin ölümü tanısı konuldu. En sık nedenler travmatik subaraknoid kanama (SAK) ve intraserebral hematom idi. Olguların çoğu A Rh (+) kan grubunda (n=18, %31,5) idi. Rh (+) hastalarda Rh (-) hastalara oranla 4,7 kat fazla beyin ölümü tespit edildi. Kardiyak arrest görülme oranı %12,3 (n=7) olup en sık SUMMARY Objective: It was aimed to present the acceptance rate of organ donation of cases that were diagnosed with brain death and evaluated in terms of their demographic and clinical properties retrospectively in Adıyaman University Training and Research Hospital. Material and Method: In the intensive care unit of our hospital, cases that were diagnosed with brain death between the dates of January 2008 and December 2014 were retrospectively analyzed. Cases were evaluated in terms of age, sex, cause of brain death, blood groups, donation status, reasons for acceptance or rejection of donation, cardiac arrest, vasopressin treatment, laboratory test results, arterial blood gas values before and after the apnea test, intensive care unit follow-up durations, apnea test, seasonal and annual distribution. Also, potential donors and recipients were analyzed in accordance with their demographic characteristics. Results: The diagnosis of brain death was made in totally 57 cases; of those, 34 (59.6%) were men and 23 (40.4%) were women. The most common causes for brain death were traumatic subarachnoid hemorrhage (SAH) and intracerebral hematoma. Most of the cases had A Rh+ blood type (n=18, 31.5%) and the rate of brain death was 4.7 times higher in Rh (+) patients in comparison to Rh (-) patients. The rate of incidence of cardiac arrest was 12.3% (n=7), and it was more common in traumatic SAH patients. The rate of receiving vasopressor therapy was 21.1% (n=12), and the mean duration of therapy was 1.3±0.8 days. It was more commonly used in traumatic SAH patients (n=10). The follow-up period was 2.7±3.2 (minimum: 1, maximum: 17) days. Five patients were considered to be organ donors. The most common reason for acceptance of donation was the effect of organ transplantation coordinator during family interviews (n=3, 60%). In total, 4 livers, 5 kidneys and 1 heart transplantation oper...

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Section: Discussionmentioning

confidence: 99%

Where are We on Organ Donation?

Uludağ¹,

Tutak²,

Doğukan³

et al. 2016

tybdd

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“…Similarly, effective donors represent a necessary input for transplants to occur. This variable is reflected by the number of brain death notifications minus the number of potential donors lost because of factors such as medical contraindications, family refusal, and maintenance failure …”

Section: Methodsmentioning

confidence: 99%

Efficiency of Brazilian public services of kidney transplantation: Benchmarking Brazilian states via data envelopment analysis

Siqueira

Araújo

2018

Health Planning & Management

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an innovative context of application and may be useful for the community of relevant policymakers, academics, and health professionals. KEYWORDS Brazilian health system, data envelopment analysis, efficiency assessment, kidney transplant 1 | INTRODUCTION End-stage renal disease is a serious public health issue in which patient survival depends on renal transplantation or renal replacement therapy, such as dialysis. 1 In the long term, however, kidney transplantation is generally more effective than dialysis in public health system costs and patient quality of life. [2][3][4][5] In Brazil, dialysis is the predominant therapy for the increasing number of cases of end-stage renal disease. 6,7 From 2010 to 2014, the number of patients on dialysis increased from 92 000 to 112 000, with the Brazilian Public Health System (SUS) financing approximately 85% of treatments. 8 Brazil is also 1 of the most active countries in absolute numbers of transplanted organs, with an increasing number of transplants. Its health sector requires substantial public investment, because SUS fully funds more than 90% of transplants performed nationwide. 9Kidney transplantation from deceased donors is the most common mode of solid organ transplantation and requires confirmation of brain death diagnosis and family consent. In 2016, the estimated population needing kidney transplants exceeded the number performed by 45%. 9 Other challenges include the poor infrastructure of public hospitals, crowded intensive care units (ICUs), broken equipment, insufficient health care professionals, and delays in laboratory tests. [9][10][11] In addition, the sector faces an increased demand for SUS services 12-14 and a tight federal health budget. 15 Lastly, the size of Brazil's territory amplifies managerial complexity, with demographic and socioeconomic disparities across states reflected in contrasting availabilities of health resources. 2,16,17 Such a context highlights the importance of assessing how scarce public resources are allocated.In this context, the present study uses data envelopment analysis (DEA) to estimate the technical and scale efficiency (SE) of Brazilian states for kidney transplants performed by SUS from 2013 to 2015. Its general objective is to rank Brazilian states by their technical efficiency scores and identify those operating at an optimal, oversized or undersized scale. Two secondary objectives are to identify states with input idle capacity and to report productivity changes during the period of analysis.Data envelopment analysis is a mathematical method that compares decision making units (DMUs) with similar production processes-units using the same type of inputs to generate analogous outputs, albeit in different amounts. 18,19 The method uses a benchmarking approach that specifies for each inefficient unit an efficient peer as a managerial reference.In contrast to the numerous efficiency studies in other health care fields-mainly using nonparametric methods such as DEA 20-23 -the literature for organ donation and transplant...

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“…Norwegian authorities (Helse‐og omsorgsdepartementet 2007) suggest that one measure to decrease the gap between the demand for and supply of donor organs is to give education specifically aimed at improving the competence of Norwegian healthcare professionals. This corresponds to the strategies used in other countries to optimize organ donation (Cantarovich 2002, Santiago et al. 2005, Matesanz & Dominguez‐Gil 2007).…”

Section: Introductionmentioning

confidence: 99%